DevEx and Productivity Metrics on Backstage - Do's and Don'ts
summary
Describes pushing DORA cycle time and devx signals into Backstage, warns against “slap-on” dashboards and wrong metrics like LOC, and gives concrete fixes: benchmarked cycle-time anchors, A/B or control groups to prove change, drilldowns to specific PRs, and automatic merge and approval rules (example: auto-approve Dependabot patches) via a gstream-style action. Claims nudges (Slack alerts for near-term PR pickup) cut pickup from multi-day waits (example: 3 days) and recommends measuring Copilot adoption versus non-adoption to catch bigger PRs and review backlog risks.
AI-written summary · about
chapters (13)
- 0:00DevEx and productivity intro
- 1:02What is Software Engineering Intelligence
- 3:35IDPs vs SEI approaches
- 7:32DevEx metrics with Backstage
- 8:39Dos and don'ts for metrics
- 14:58Beyond basic metrics and context
- 18:12Developer-focused insights
- 19:15From measuring to improving
- 21:26Automation and team goals
- 24:57ROI and automation adoption
- 26:03Balancing productivity and DevEx
- 27:07AI impact on DevEx
- 29:57Summary and call to action
related talks
39mDev Team Metrics that Matter
15mDev Team Metrics that Matter
22mDev Team Metrics that Matter
37mA systems view of developer productivity
24mDevEx on Steroids: 🚀 5 Hacks to SUPERCHARGE Developer Experience
29mA DORA Metrics Adventure in Deciphering Engineering Changes
25mRethinking measurement for high-performing teams
50mDevEx on Steroids: 5 Techniques to Scale Developer Experience